2025年度
🍀論文発表(査読あり)
- S. Aoyama, T.Myo, D.Yoshida, “Stochastic Variational Method as a Machine Learning Approach to Large-Scale Few-Body System Calculations”,
Computational Science and Its Applications – ICCSA 2025. Lecture Notes in Computer Science, vol 15890. Springer, Cham. 28 June 2025
doi:10.1007/978-3-031-97606-3_4 - Daisuke Yoshida, Emiko Hayama, Toshiyuki Imamura, Issaku Kanamori, Hideo Matsufuru, “Solving large-scale eigen problem in quantum few-body system on massive parallel computer”, SCA/HPCAsiaWS ’26: Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops. 25 January 2026
doi:10.1145/3784828.3785341
2025年度
🍀口頭発表
- S. Aoyama, T.Myo, D.Yoshida, “Stochastic Variational Method as a Machine Learning Approach to Large-Scale Few-Body System Calculations”, CSHPC2025 workshop in ICCSA2025 (Istanbul, 2025/6)
- S. Aoyama, “Quantum few-body system computation with a quantum machine learning approach”, Asian Quantum Information Science 2025(HongKong, 2025/7)
- S.Aoyama, “Quantum few-body system computation with a quantum machine learning approach”, 22th International Conference on Unconventional
Computational Computation and Natural Computation(Quantum computing and quantum information workshop) (Niece, 2025/8) - 青山茂義、「機械学習的変分法による少数多体計算」、第80回日本物理学会年次大会(広島大、2025年9月)
- S.Aoyama, “Quantum Boltzmann machine learning of di-neutron correlations in 6He using a quantum annealing machine”, NUSRAP2026(Seoul,2025/11)